AI is transforming industries—understand its role in healthcare’s future.
Large Language Models (LLMs), machine learning, and other forms of artificial intelligence (AI) are reshaping how healthcare is delivered, managed, and regulated. But with this promise comes complexity and risk. Responsible AI for Health Care: Concepts and Applications is a four-day, intensive live online program that equips healthcare professionals with the knowledge and tools to critically assess, implement, and govern AI technologies in clinical, operational, and public health settings.
Led by renowned Harvard faculty and AI ethics experts, this program focuses on ethical principles, regulatory frameworks, fairness, transparency, and implementation science. Participants will examine real-world case studies—both successes and failures—to explore how to apply responsible AI in high-stakes environments while avoiding unintended harms.
Through interactive lectures, group discussion, and applied learning, participants will engage with timely questions at the intersection of innovation, safety, and health equity. The program also fosters a strong peer network, designed to support continued learning and collaboration well beyond the course.
Define foundational AI concepts and differentiate types of AI tools relevant to clinical, operational, and population health use cases
Identify sources of algorithmic bias stemming from data, design, or deployment, and evaluate their impact on health equity
Apply leading ethical frameworks to assess fairness, transparency, accountability, and safety in healthcare AI
Compare and contrast U.S. and global regulatory approaches to healthcare AI, and assess implications for compliance and innovation
Evaluate the trade-offs between explainability and model complexity, and explain the role of transparency in building trust in clinical AI
AI is transforming industries—understand its role in healthcare’s future.
Large Language Models (LLMs), machine learning, and other forms of artificial intelligence (AI) are reshaping how healthcare is delivered, managed, and regulated. But with this promise comes complexity and risk. Responsible AI for Health Care: Concepts and Applications is a four-day, intensive live online program that equips healthcare professionals with the knowledge and tools to critically assess, implement, and govern AI technologies in clinical, operational, and public health settings.
Led by renowned Harvard faculty and AI ethics experts, this program focuses on ethical principles, regulatory frameworks, fairness, transparency, and implementation science. Participants will examine real-world case studies—both successes and failures—to explore how to apply responsible AI in high-stakes environments while avoiding unintended harms.
Through interactive lectures, group discussion, and applied learning, participants will engage with timely questions at the intersection of innovation, safety, and health equity. The program also fosters a strong peer network, designed to support continued learning and collaboration well beyond the course.
